Quantifying the response of a functional indicator of ecosystem health to disturbance gradients in New Zealand riverine environments: a meta-analysis

Published: Aug. 16, 2021

<p><b>In New Zealand, recent policy changes require freshwater managers to take more comprehensive and integrated approaches monitoring maintaining ecosystem health. To attempt prevent reverse the adverse effects of land use change on ecosystems, management decisions need be based upon a suite indicators each with strong foundation knowledge regarding nature responses at national scale. Monitoring function in addition structural has long been suggested provide accurate holistic narrative health, however, it yet adopted routine bioassessment. The cotton strip assay shown promise as consistent, relatively cheap, repeatable method for function, indicating ecological processing rates riverine microbial communities organic matter potential environments. Numerous regional-scale studies have applied but these data explored unison. For successfully monitor, manage, restore processes river environments, understanding proximate drivers breakdown is needed. aim this study conduct meta-analysis explore relationship between other measures health land-use stressors scale.</b></p> <p>I collated published unpublished create meta-dataset, harmonised by deployment time temperature meaningful comparisons I sourced additional from databases describing water quality physical classification information comprehensive, higher resolution analyses. then used meta-dataset was investigate decomposition along varying levels impairment across different seasonal conditions spatial catchment attributes. </p> linear mixed-effects models determine relationships physicochemical predictor variables, any influence attributed underlying variation sites. Results suggest that bioavailable nutrients clarity are largest Water emerged likely limiting factors activity breakdown, consistent intra-seasonal advisable. Climate geology can also important when looking discriminate should incorporated making larger scale comparisons. Relationships were found non-linear too many co-varying enacting successful predictive gradients. Breakdown were, most under high vegetation cover, variability urban pastoral developed catchments. assays’ sensitivity nutrient enrichment could aid informing policies respect limits, setting natural benchmarks.</p>

Language: Английский

Quantifying the response of a functional indicator of ecosystem health to disturbance gradients in New Zealand riverine environments: a meta-analysis

Published: Aug. 16, 2021

<p><b>In New Zealand, recent policy changes require freshwater managers to take more comprehensive and integrated approaches monitoring maintaining ecosystem health. To attempt prevent reverse the adverse effects of land use change on ecosystems, management decisions need be based upon a suite indicators each with strong foundation knowledge regarding nature responses at national scale. Monitoring function in addition structural has long been suggested provide accurate holistic narrative health, however, it yet adopted routine bioassessment. The cotton strip assay shown promise as consistent, relatively cheap, repeatable method for function, indicating ecological processing rates riverine microbial communities organic matter potential environments. Numerous regional-scale studies have applied but these data explored unison. For successfully monitor, manage, restore processes river environments, understanding proximate drivers breakdown is needed. aim this study conduct meta-analysis explore relationship between other measures health land-use stressors scale.</b></p> <p>I collated published unpublished create meta-dataset, harmonised by deployment time temperature meaningful comparisons I sourced additional from databases describing water quality physical classification information comprehensive, higher resolution analyses. then used meta-dataset was investigate decomposition along varying levels impairment across different seasonal conditions spatial catchment attributes. </p> linear mixed-effects models determine relationships physicochemical predictor variables, any influence attributed underlying variation sites. Results suggest that bioavailable nutrients clarity are largest Water emerged likely limiting factors activity breakdown, consistent intra-seasonal advisable. Climate geology can also important when looking discriminate should incorporated making larger scale comparisons. Relationships were found non-linear too many co-varying enacting successful predictive gradients. Breakdown were, most under high vegetation cover, variability urban pastoral developed catchments. assays’ sensitivity nutrient enrichment could aid informing policies respect limits, setting natural benchmarks.</p>

Language: Английский